6/15/2018

Input data

  • running phenograph on Cytotoxic T cells from non-“manual” samples
  • used following markers HLA.DR, IgD, CD19, CD3, CD4, CD8, CD45RA, CCR7, CD95, CD28, CD27

Phenograph Clusters detected

  • only within control sample “A”
  • n = 13 fcs files

Characterizing Phenograph Clusters

  • For each Phenograph Cluster:
    • compute median expression (centroid) of each input marker
  • group common centroids together

Characterizing Phenograph Clusters

  • “x”-axis bars are individual phenograph clusters
  • “y”-axis is the median expression of each marker within that cluster

Characterizing Phenograph Clusters

  • “x”-axis white lines separating individual CtlA .fcs files
  • “y”-axis is the median expression of each marker within that cluster

Characterizing Phenograph Clusters

  • expression “squished” to min of 0 and max of 250
  • outlier values are assigned either min or max

Characterizing Phenograph Clusters

  • “x”-axis ordered by common phenograph clusters
  • sorta grouped by “meta” clusters

Phenograph Clusters detected

  • all Ctl files
  • n = 53 fcs files

Characterizing Phenograph Clusters

  • “x”-axis white lines separating individual Ctls (multiple .fcs)

Characterizing Phenograph Clusters

  • “x”-axis ordered by common phenograph clusters

Phenograph Clusters detected

  • n = 100 fcs files, 1532 clusters
  • non-“manual” and non-Ctls

Characterizing Phenograph Clusters

  • “x”-axis ordered by common phenograph clusters

Characterizing Phenograph Clusters

  • “x”-axis ordered by common phenograph clusters